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deepseek-r1 vs GLM-5.1

Side-by-side comparison of deepseek-r1 and GLM-5.1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. GLM-5.1 outperforms deepseek-r1 on 7 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
deepseek-r127.1%
GLM-5.151.4%
Coding Indexcoding
deepseek-r124.0%
GLM-5.143.4%
Math Indexmath
deepseek-r176.0%
GLM-5.1N/A
GPQA Diamondreasoning
deepseek-r181.3%
GLM-5.186.8%
AIME 2025math
deepseek-r176.0%
GLM-5.1N/A
LiveCodeBenchcoding
deepseek-r177.0%
GLM-5.1N/A
Terminal-Bench Hardagentic
deepseek-r115.9%
GLM-5.143.2%
τ²-Benchagentic
deepseek-r136.5%
GLM-5.197.7%
SciCodecoding
deepseek-r140.3%
GLM-5.143.8%
MMLU Proknowledge
deepseek-r184.9%
GLM-5.1N/A
Humanity's Last Examreasoning
deepseek-r114.9%
GLM-5.128.0%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

deepseek-r1GLM-5.1
Input price / 1M$4.00$1.40
Output price / 1M$4.00$4.40
Context window64K tokens200K tokens
Max outputN/A128K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningN/AYes
Prompt cachingN/AYes
Computer useN/AN/A
ProviderNovita AIZ.ai

Questions people ask

Is deepseek-r1 better than GLM-5.1?
GLM-5.1 outperforms deepseek-r1 on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: deepseek-r1 and GLM-5.1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-r1 or GLM-5.1?
GLM-5.1 is cheaper. deepseek-r1 costs $4.00/$4.00 per 1M input/output tokens, while GLM-5.1 costs $1.40/$4.40.
Can I use deepseek-r1 and GLM-5.1 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "novita/deepseek/deepseek-r1" and "zai/GLM-5.1", no other code changes needed.
What are the context windows?
deepseek-r1 supports up to 64K tokens of context. GLM-5.1 supports up to 200K tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between deepseek-r1 and GLM-5.1 with one line of code

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